Abstract
This paper proposes a collaborative optimization model of car-flow organization for freight trains based on adjacent technical stations to minimize the average dwell time of train cars in a yard. To solve the car-flow organization problems, a priority-based hump sequence, which depends on the cars available in two adjacent technical stations, is adopted. Furthermore, a meta-heuristic algorithm based on the genetic algorithm and the taboo search algorithm is adopted to solve the model, and the introduction of the active scheduling method improves the efficiency of the algorithm. Finally, the model is applied to the car-flow organization problem of two adjacent technical stations, and the results are compared with those from a single technical station without collaboration. The results demonstrate that collaborative car-flow organization between technical stations significantly reduces the average dwell time at the stations, thereby improving the utilization rate of railroad equipment. In addition, the results indicate that the hybrid genetic algorithm can rapidly determine the train hump and marshalling schemes.
Highlights
At present, there are various railway freight organization modes used worldwide
Based on the car-flow organization for freight trains at a single technical station, the plan for the break-up operation of the inbound train at technical station B is obtained through the hybrid genetic algorithm
The results show that collaborative optimization of the car-flow organization for two adjacent technical stations allows average car dwell time savings of 4.9 min and facilitates two additional outbound trains reaching the departure criteria
Summary
A few countries in North America have abundant rail capacity They have separate railway networks for freight traffic. When the number of cars is too small to organize direct transport, freight trains are formed by grouping cars with different origins and destinations to form new outbound trains at shunting yards. This shunting operation is very expensive and time-consuming. When a freight train is reorganized at a technical station, the traffic continuum is scheduled These systems do not require re-optimization of car-flow organization at the technical station.
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